Speech quality estimation using packet loss effects in CELP-type speech coders

Min Ki Lee, Kyung Tae Kim, Hong Goo Kang, Dae Hee Youn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an objective quality assessment method for voice communication systems using packet loss information. Based on the fact that the effect of packet loss to perceptual quality varies depending on the signal characteristics of lost packets, different weighting factors are applied to predicting overall quality. Considering the key paradigm of low bit rate speech coders such as parameter prediction in consecutive frames, we also include the effect of neighborhood frames. To verify the performance of the proposed algorithm, we apply it into two well-known speech codecs, G.729 and AMR-NB. Simulation results with a large speech database verify the superiority of the proposed algorithm. The normalized correlation between degraded listening quality (LQ) scale of the PESQ and the proposed method is 0.9121 at G.729A and 0.9289 at AMR codec based on SMV classification of input signal and 0.8505 at G.729A and 0.8586 at AMR codec based on SMV classification of decoded signal.

Original languageEnglish
Title of host publicationInternational Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007
Pages2380-2383
Number of pages4
Publication statusPublished - 2007
Event8th Annual Conference of the International Speech Communication Association, Interspeech 2007 - Antwerp, Belgium
Duration: 2007 Aug 272007 Aug 31

Publication series

NameInternational Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007
Volume4

Other

Other8th Annual Conference of the International Speech Communication Association, Interspeech 2007
Country/TerritoryBelgium
CityAntwerp
Period07/8/2707/8/31

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software
  • Modelling and Simulation
  • Linguistics and Language
  • Communication

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